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Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Single pixel quantitative phase imaging with spatial frequency projections.

Patrick A Stockton¹, Jeffrey J Field², Randy A Bartels³

¹Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, United States.

Methods (San Diego, Calif.)

|November 7, 2017

Summary

This summary is machine-generated.

A novel single pixel imaging method simultaneously captures quantitative phase and incoherent images by using a diffraction grating. This technique simplifies the recovery of both coherent and incoherent contrast mechanisms for advanced imaging applications.

Keywords:

Label-free Microscopy Quantitative phase imaging Single pixel imaging Spatial frequency microscopy Tomography

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Area of Science:

Optics and Photonics
Biomedical Imaging
Computational Imaging

Background:

Quantitative phase imaging (QPI) and incoherent imaging are valuable modalities for biological and material science.
Co-registration of these modalities is challenging, often requiring complex setups or multiple acquisitions.
Existing single pixel imaging techniques may not efficiently integrate both coherent and incoherent information.

Purpose of the Study:

To develop a single pixel imaging technique for automatic co-registration of quantitative phase and incoherent modalities.
To enable simultaneous acquisition of identical object spatial frequency information for both contrast types.
To provide a generalized theoretical framework for single pixel quantitative phase imaging.

Main Methods:

Utilizing a time-varying groove density diffraction grating to generate reference and scan beams.
Inducing time-varying spatial frequencies in the sample through beam interference.
Employing a single pixel detector to record time traces for signal recovery.

Main Results:

Demonstrated simultaneous acquisition and co-registration of quantitative phase and incoherent images.
Achieved facile recovery of both coherent and incoherent contrast mechanisms from the recorded time trace.
Validated the quantitative phase theory with experimental data and numerical models, showing excellent agreement.

Conclusions:

The proposed single pixel imaging technique offers an efficient method for multimodal imaging.
The derived quantitative phase theory is applicable to a broad range of single pixel phase imaging methods.
This advancement facilitates comprehensive sample characterization using a single, integrated system.